Retrospective analysis of COVID-19 clinical and laboratory data: Constructing a multivariable model across different comorbidities

Retrospective analysis of COVID-19 clinical and laboratory data: Constructing a multivariable model across different comorbidities

Background: The clinical pathogenesis of COVID-19 necessitates a comprehensive and homogeneous study to understand the disease mechanisms. Identifying clinical symptoms and laboratory parameters as key predictors can guide prognosis and inform effective treatment strategies. This study analyzed como...

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Main Authors: Mahdieh Shokrollahi Barough, Mohammad Darzi, Masoud Yunesian, Danesh Amini Panah, Yekta Ghane, Sam Mottahedan, Sohrab Sakinehpour, Tahereh Kowsarirad, Zahra Hosseini-Farjam, Mohammad Reza Amirzargar, Samaneh Dehghani, Fahimeh Shahriyary, Mohammad Mahdi Kabiri, Marzieh Nojomi, Neda Saraygord-Afshari, Seyedeh Ghazal Mostofi, Zeynab Yassin, Nazanin Mojtabavi
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Infection and Public Health
Subjects:
COVID-19
Laboratory data
Comorbidity
Feature selection
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1876034124003009
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